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Author Pickle, Linda ♦ MacEachren, Alan M. ♦ Dai, Xiping ♦ Hardisty, Frank
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Subject Keyword Gis ♦ Spatio-temporal
Abstract Federal government agencies generate, summarize, and disseminate a large and growing volume of statistical data that can be linked through common geospatial referencing. The potential of this data is often unrealized because agencies and their data users lack usable and useful data analysis tools that support multivariate geospatial data exploration and processing.
Description Affiliation: Pennsylvania State University (Hardisty, Frank; Dai, Xiping) || Penn State University (MacEachren, Alan M.) || National Cancer Institute (Pickle, Linda)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2005-08-01
Publisher Place New York
Journal Communications of the ACM (CACM)
Volume Number 46
Issue Number 1
Page Count 2
Starting Page 59
Ending Page 60

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Source: ACM Digital Library